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Computer Agents that Interact Proficiently with People

Published: 20 March 2015 Publication History

Abstract

Automated agents that interact proficiently with people can be useful in supporting or replacing people in complex tasks. The inclusion of people presents novel problems for the design of automated agents' strategies. People do not necessarily adhere to the optimal, monolithic strategies that can be derived analytically. Their behavior is affected by a multitude of social and psychological factors. In this talk I will show how combining machine learning techniques for human modeling, human behavioral models, formal decision-making and game theory approaches enables agents to interact well with people. Applications include intelligent agents that help drivers reduce energy consumption, agents that support rehabilitation, employer-employee negotiation and agents that support a human operator in managing a team of low-cost mobile robots in search and rescue tasks.

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  1. Computer Agents that Interact Proficiently with People

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    CODS-IKDD '15: Proceedings of the 2nd IKDD Conference on Data Sciences
    March 2015
    29 pages
    ISBN:9781450336161
    DOI:10.1145/2778865
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 20 March 2015

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    1. Machine Learning

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